Literature DB >> 28880258

Do trials reduce uncertainty? Assessing impact through cumulative meta-analysis of neonatal RCTs.

S C Hay1,2, H Kirpalani3, C Viner4, R Soll5, D Dukhovny6, W-Y Mao1, J Profit7, S B DeMauro3, J A F Zupancic1,2.   

Abstract

OBJECTIVE: To assess the impact of the latest randomized controlled trial (RCT) to each systematic review (SR) in Cochrane Neonatal Reviews. STUDY
DESIGN: We selected meta-analyses reporting the typical point estimate of the risk ratio for the primary outcome of the latest study (n=130), mortality (n=128) and the mean difference for the primary outcome (n=44). We employed cumulative meta-analysis to determine the typical estimate after each trial was added, and then performed multivariable logistic regression to determine factors predictive of study impact.
RESULTS: For the stated primary outcome, 18% of latest RCTs failed to narrow the confidence interval (CI), and 55% failed to decrease the CI by ⩾20%. Only 8% changed the typical estimate directionality, and 11% caused a change to or from significance. Latest RCTs did not change the typical estimate in 18% of cases, and only 41% changed the typical estimate by at least 10%. The ability to narrow the CI by >20% was negatively associated with the number of previously published RCTs (odds ratio 0.707). Similar results were found in analysis of typical estimates for the outcomes of mortality and mean difference.
CONCLUSION: Across a broad range of clinical questions, the latest RCT failed to substantially narrow the CI of the typical estimate, to move the effect estimate or to change its statistical significance in a majority of cases. Investigators and grant peer review committees should consider prioritizing less-studied topics or requiring formal consideration of optimal information size based on extant evidence in power calculations.

Mesh:

Year:  2017        PMID: 28880258     DOI: 10.1038/jp.2017.126

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  11 in total

1.  Cochrane neonatal systematic reviews: a survey of the evidence for neonatal therapies.

Authors:  John C Sinclair; Diane E Haughton; Michael B Bracken; Jeffrey D Horbar; Roger F Soll
Journal:  Clin Perinatol       Date:  2003-06       Impact factor: 3.430

2.  Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis.

Authors:  Jørn Wetterslev; Kristian Thorlund; Jesper Brok; Christian Gluud
Journal:  J Clin Epidemiol       Date:  2007-08-23       Impact factor: 6.437

3.  What has the Cochrane collaboration ever done for newborn infants?

Authors:  William McGuire; Peter W Fowlie; Roger F Soll
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2009-05-03       Impact factor: 5.747

Review 4.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

5.  Association between analytic strategy and estimates of treatment outcomes in meta-analyses.

Authors:  Agnes Dechartres; Douglas G Altman; Ludovic Trinquart; Isabelle Boutron; Philippe Ravaud
Journal:  JAMA       Date:  2014-08-13       Impact factor: 56.272

6.  Meta-analysis of randomized controlled trials of antenatal corticosteroid for the prevention of respiratory distress syndrome: discussion.

Authors:  J C Sinclair
Journal:  Am J Obstet Gynecol       Date:  1995-07       Impact factor: 8.661

7.  Publication of trials funded by the National Heart, Lung, and Blood Institute.

Authors:  David Gordon; Wendy Taddei-Peters; Alice Mascette; Melissa Antman; Peter G Kaufmann; Michael S Lauer
Journal:  N Engl J Med       Date:  2013-11-14       Impact factor: 91.245

8.  Searching the clinical fitness landscape.

Authors:  Margaret J Eppstein; Jeffrey D Horbar; Jeffrey S Buzas; Stuart A Kauffman
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

9.  Accumulating research: a systematic account of how cumulative meta-analyses would have provided knowledge, improved health, reduced harm and saved resources.

Authors:  Mike Clarke; Anne Brice; Iain Chalmers
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.240

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  1 in total

1.  Systematic reviews and meta-analysis: why might more clinical trials yield no greater precision?

Authors:  Joseph Schulman
Journal:  J Perinatol       Date:  2017-11       Impact factor: 2.521

  1 in total

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